Tom Decroos
Data AnalystSoftware Engineer, Trust and Safety at Meta | PhD
Meta
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Software Engineer, Trust and Safety at Meta | PhD
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Software Engineer / Researcher in Machine Learning and Artificial Intelligence
KU Leuven
Doctor of Philosophy - PhD, Computer Science
January 1, 2016 – January 1, 2020
KU Leuven
Master’s Degree, Civil Engineering: Computer Science
January 1, 2014 – January 1, 2016
KU Leuven
Bachelor's Degree, Computer Science
January 1, 2011 – January 1, 2014
Meta
Senior Software Engineer
February 1, 2023 – Present
London, England, United Kingdom
Meta
Software Engineer
October 1, 2020 – February 1, 2023
London, England, United Kingdom
Software Engineer Intern
June 1, 2018 – August 1, 2018
London, United Kingdom
KU Leuven
PhD Researcher in Machine Learning and Artificial Intelligence
September 1, 2016 – October 1, 2020
Leuven
KU Leuven Campus Kulak Kortrijk
Developer
August 1, 2012 – August 1, 2015
Kortrijk
Royal
Waiter
July 1, 2009 – July 1, 2014
Koksijde
Cultural Fit Analysis
The candidate's background is heavily skewed towards Software Engineering and Machine Learning Engineering roles, with a strong academic research focus. While they have extensive experience with ML models, their direct experience as a 'Data Analyst' is not explicitly detailed. The target role of 'Data Analyst' might not fully leverage their senior-level software engineering and ML research expertise, potentially leading to a mismatch in expectations or underutilization of their advanced skills. Their experience is primarily in large tech companies and academia, which suggests a fit for structured, data-driven environments, but the specific 'analyst' aspect is less prominent.
Soft Skills & Operational Fit
The candidate's academic and professional history suggests strong analytical and problem-solving skills. Their PhD research and publications indicate a capacity for independent work, critical thinking, and innovation. Experience at Meta implies adaptability to large-scale, fast-paced environments. However, specific soft skill assessments (e.g., teamwork, communication style) are not available from the provided data.